Overview

Dataset statistics

Number of variables4
Number of observations350
Missing cells2
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.1 KiB
Average record size in memory32.4 B

Variable types

Text3
DateTime1

Dataset

Description보건의료 지역보건 업무 관련 제주특별자치도 제주시 관내 의원 현황 데이터를 제공합니다.
Author제주특별자치도 제주시
URLhttps://www.data.go.kr/data/15056080/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
의료기관명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:20:59.445567
Analysis finished2023-12-12 09:20:59.929057
Duration0.48 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

의료기관명
Text

UNIQUE 

Distinct350
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2023-12-12T18:21:00.137819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length18
Mean length8.0942857
Min length3

Characters and Unicode

Total characters2833
Distinct characters283
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique350 ?
Unique (%)100.0%

Sample

1st row전원중속내과의원
2nd row연세차내과의원
3rd row탑셀성형외과의원
4th row삼성드림소아청소년과의원
5th row고든비뇨의학과의원
ValueCountFrequency (%)
소아청소년과의원 2
 
0.5%
정형외과의원 2
 
0.5%
삼다중앙의원 1
 
0.3%
나우리제통의원 1
 
0.3%
서울정형외과의원 1
 
0.3%
현용준내과의원 1
 
0.3%
김의원 1
 
0.3%
김병훈정형외과의원 1
 
0.3%
성연내과의원 1
 
0.3%
제주아름다운피부과의원 1
 
0.3%
Other values (355) 355
96.7%
2023-12-12T18:21:00.673246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
397
 
14.0%
354
 
12.5%
237
 
8.4%
60
 
2.1%
58
 
2.0%
56
 
2.0%
50
 
1.8%
46
 
1.6%
44
 
1.6%
43
 
1.5%
Other values (273) 1488
52.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2781
98.2%
Decimal Number 27
 
1.0%
Space Separator 17
 
0.6%
Uppercase Letter 4
 
0.1%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
397
 
14.3%
354
 
12.7%
237
 
8.5%
60
 
2.2%
58
 
2.1%
56
 
2.0%
50
 
1.8%
46
 
1.7%
44
 
1.6%
43
 
1.5%
Other values (260) 1436
51.6%
Decimal Number
ValueCountFrequency (%)
6 7
25.9%
3 7
25.9%
5 6
22.2%
1 3
11.1%
9 2
 
7.4%
0 2
 
7.4%
Uppercase Letter
ValueCountFrequency (%)
V 1
25.0%
I 1
25.0%
P 1
25.0%
K 1
25.0%
Space Separator
ValueCountFrequency (%)
17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2781
98.2%
Common 48
 
1.7%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
397
 
14.3%
354
 
12.7%
237
 
8.5%
60
 
2.2%
58
 
2.1%
56
 
2.0%
50
 
1.8%
46
 
1.7%
44
 
1.6%
43
 
1.5%
Other values (260) 1436
51.6%
Common
ValueCountFrequency (%)
17
35.4%
6 7
14.6%
3 7
14.6%
5 6
 
12.5%
1 3
 
6.2%
9 2
 
4.2%
0 2
 
4.2%
) 2
 
4.2%
( 2
 
4.2%
Latin
ValueCountFrequency (%)
V 1
25.0%
I 1
25.0%
P 1
25.0%
K 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2781
98.2%
ASCII 52
 
1.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
397
 
14.3%
354
 
12.7%
237
 
8.5%
60
 
2.2%
58
 
2.1%
56
 
2.0%
50
 
1.8%
46
 
1.7%
44
 
1.6%
43
 
1.5%
Other values (260) 1436
51.6%
ASCII
ValueCountFrequency (%)
17
32.7%
6 7
13.5%
3 7
13.5%
5 6
 
11.5%
1 3
 
5.8%
9 2
 
3.8%
0 2
 
3.8%
) 2
 
3.8%
( 2
 
3.8%
V 1
 
1.9%
Other values (3) 3
 
5.8%

주소
Text

Distinct278
Distinct (%)79.4%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2023-12-12T18:21:01.215220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length25
Mean length19.594286
Min length17

Characters and Unicode

Total characters6858
Distinct characters109
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique236 ?
Unique (%)67.4%

Sample

1st row제주특별자치도 제주시 고마로 84
2nd row제주특별자치도 제주시 우평로 338, 4
3rd row제주특별자치도 제주시 연북로 161
4th row제주특별자치도 제주시 동광로 120
5th row제주특별자치도 제주시 도령로 76
ValueCountFrequency (%)
제주시 351
24.3%
제주특별자치도 350
24.3%
중앙로 38
 
2.6%
서광로 33
 
2.3%
동광로 23
 
1.6%
연북로 22
 
1.5%
2 18
 
1.2%
1 17
 
1.2%
도령로 16
 
1.1%
월랑로 15
 
1.0%
Other values (274) 560
38.8%
2023-12-12T18:21:01.923693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1178
17.2%
725
 
10.6%
701
 
10.2%
366
 
5.3%
351
 
5.1%
350
 
5.1%
350
 
5.1%
350
 
5.1%
350
 
5.1%
314
 
4.6%
Other values (99) 1823
26.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4705
68.6%
Space Separator 1178
 
17.2%
Decimal Number 958
 
14.0%
Dash Punctuation 15
 
0.2%
Uppercase Letter 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
725
15.4%
701
14.9%
366
7.8%
351
7.5%
350
7.4%
350
7.4%
350
7.4%
350
7.4%
314
 
6.7%
60
 
1.3%
Other values (85) 788
16.7%
Decimal Number
ValueCountFrequency (%)
1 195
20.4%
3 155
16.2%
2 114
11.9%
7 85
8.9%
0 81
8.5%
5 77
 
8.0%
8 73
 
7.6%
6 73
 
7.6%
4 62
 
6.5%
9 43
 
4.5%
Space Separator
ValueCountFrequency (%)
1178
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Uppercase Letter
ValueCountFrequency (%)
X 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4705
68.6%
Common 2152
31.4%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
725
15.4%
701
14.9%
366
7.8%
351
7.5%
350
7.4%
350
7.4%
350
7.4%
350
7.4%
314
 
6.7%
60
 
1.3%
Other values (85) 788
16.7%
Common
ValueCountFrequency (%)
1178
54.7%
1 195
 
9.1%
3 155
 
7.2%
2 114
 
5.3%
7 85
 
3.9%
0 81
 
3.8%
5 77
 
3.6%
8 73
 
3.4%
6 73
 
3.4%
4 62
 
2.9%
Other values (3) 59
 
2.7%
Latin
ValueCountFrequency (%)
X 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4705
68.6%
ASCII 2153
31.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1178
54.7%
1 195
 
9.1%
3 155
 
7.2%
2 114
 
5.3%
7 85
 
3.9%
0 81
 
3.8%
5 77
 
3.6%
8 73
 
3.4%
6 73
 
3.4%
4 62
 
2.9%
Other values (4) 60
 
2.8%
Hangul
ValueCountFrequency (%)
725
15.4%
701
14.9%
366
7.8%
351
7.5%
350
7.4%
350
7.4%
350
7.4%
350
7.4%
314
 
6.7%
60
 
1.3%
Other values (85) 788
16.7%
Distinct348
Distinct (%)100.0%
Missing2
Missing (%)0.6%
Memory size2.9 KiB
2023-12-12T18:21:02.201175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters4176
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique348 ?
Unique (%)100.0%

Sample

1st row064-722-2588
2nd row064-747-2375
3rd row064-742-6668
4th row064-702-7582
5th row064-711-2678
ValueCountFrequency (%)
064-757-9666 1
 
0.3%
064-752-5275 1
 
0.3%
064-755-1008 1
 
0.3%
064-726-8275 1
 
0.3%
064-713-0332 1
 
0.3%
064-711-8042 1
 
0.3%
064-713-3454 1
 
0.3%
064-796-0995 1
 
0.3%
064-752-8818 1
 
0.3%
064-751-6006 1
 
0.3%
Other values (338) 338
97.1%
2023-12-12T18:21:03.101547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 696
16.7%
0 571
13.7%
7 571
13.7%
4 533
12.8%
6 481
11.5%
5 362
8.7%
2 261
 
6.2%
1 218
 
5.2%
8 204
 
4.9%
3 153
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3480
83.3%
Dash Punctuation 696
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 571
16.4%
7 571
16.4%
4 533
15.3%
6 481
13.8%
5 362
10.4%
2 261
7.5%
1 218
 
6.3%
8 204
 
5.9%
3 153
 
4.4%
9 126
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 696
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4176
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 696
16.7%
0 571
13.7%
7 571
13.7%
4 533
12.8%
6 481
11.5%
5 362
8.7%
2 261
 
6.2%
1 218
 
5.2%
8 204
 
4.9%
3 153
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4176
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 696
16.7%
0 571
13.7%
7 571
13.7%
4 533
12.8%
6 481
11.5%
5 362
8.7%
2 261
 
6.2%
1 218
 
5.2%
8 204
 
4.9%
3 153
 
3.7%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
Minimum2021-09-07 00:00:00
Maximum2021-09-07 00:00:00
2023-12-12T18:21:03.257182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:21:03.375114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Missing values

2023-12-12T18:20:59.759224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:20:59.873659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

의료기관명주소전화번호데이터기준일자
0전원중속내과의원제주특별자치도 제주시 고마로 84064-722-25882021-09-07
1연세차내과의원제주특별자치도 제주시 우평로 338, 4064-747-23752021-09-07
2탑셀성형외과의원제주특별자치도 제주시 연북로 161064-742-66682021-09-07
3삼성드림소아청소년과의원제주특별자치도 제주시 동광로 120064-702-75822021-09-07
4고든비뇨의학과의원제주특별자치도 제주시 도령로 76064-711-26782021-09-07
5하귀튼튼의원제주특별자치도 제주시 애월읍 하귀9길 1064-713-55882021-09-07
6비바체성형외과의원제주특별자치도 제주시 중앙로 302064-755-19452021-09-07
7이엠돌담의원제주특별자치도 제주시 일주동로 393064-721-39112021-09-07
8배진성마취통증의학과의원제주특별자치도 제주시 우정로15길 5064-749-63352021-09-07
9외도굿모닝이비인후과의원제주특별자치도 제주시 우평로 338064-747-75532021-09-07
의료기관명주소전화번호데이터기준일자
340(사)한국한센복지협회제주시지부부설복지피부과의원제주특별자치도 제주시 신대로 128064-747-25592021-09-07
341아이세상소아청소년과의원제주특별자치도 제주시 화삼로1길 14064-725-60472021-09-07
342한국건강관리협회건강증진의원제주특별자치도 제주시 연북로 111064-740-02002021-09-07
343홍소아청소년과의원제주특별자치도 제주시 아란7길 18064-743-48002021-09-07
344제주중앙안과의원제주특별자치도 제주시 중앙로15길 2064-757-41232021-09-07
345고신경정신과의원제주특별자치도 제주시 서광로 203064-722-31852021-09-07
346성이시돌복지의원제주특별자치도 제주시 한림읍 산록남로 50064-796-22442021-09-07
347김판규외과의원제주특별자치도 제주시 무근성7길 2064-722-28522021-09-07
348동일내과의원제주특별자치도 제주시 동광로 131064-753-23112021-09-07
349이동구내과의원제주특별자치도 제주시 신광로 64064-746-42242021-09-07